Remove last n rows of a Pandas DataFrame

Let's see the various methods to Remove last n rows of a Pandas Dataframe.
First, let's make a dataframe:

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Method 1: Using Dataframe.drop() .
We can remove the last n rows using the drop() method. drop() method gets an inplace argument which takes a boolean value. If inplace attribute is set to True then the dataframe gets updated with the new value of dataframe (dataframe with last n rows removed).

 

Example:

 

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Method 2: Using Dataframe.iloc[ ].

This method is used when the index label of a data frame is something other than numeric series of 0, 1, 2, 3….n or in case the user doesn’t know the index label. 

Example:

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Method 3: Using Dataframe.head().

 

This method is used to return top n (5 by default) rows of a data frame or series.

 

Example:

 

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Method 4: Using Dataframe slicing [ ].

Example:

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